Çocuğunuza Kurs Parası Ödemeden Verebileceğiniz 50 Ücretsiz Eğitim
1.) https://t.co/QtBhX48B2x → MIT'nin çocuk kodlama platformu
2.) https://t.co/9t9PY8wMJi → Sıfırdan kodlama dersleri
3.) https://t.co/T2kjF5rtPP → Bloklarla kodlama oyunları
4.) https://t.co/RWGLDXJH4a → Oyun oynayarak kod yazma
5.) https://t.co/diXleSjMFj → Microsoft'un çocuk kodlama aracı
6.) https://t.co/Dyei4e5Vgf → Bir saatlik kodlama etkinlikleri
7.) https://t.co/vYFEyR7ztS → Yaşa göre eğitici oyunlar
8.) https://t.co/EXEqh73xoz → Okuma ve harf öğretimi
9.) https://t.co/J56xl7h07H → Eğitici çizgi film ve oyunlar
10.) https://t.co/57Gb9gehq9 → Susam Sokağı eğitim arşivi
11.) https://t.co/mSi38ofICe → TRT'nin çocuk içerik arşivi
12.) https://t.co/OlLS55FLpj → TÜBİTAK'ın çocuk bilim dergisi
13.) https://t.co/8dJBDzVVS9 → Doğa ve hayvan içerikleri
14.) https://t.co/P3QiPywi4y → Smithsonian çocuk kaynakları
15.) https://t.co/XoOzlq4Nnv → Çocuklar için ansiklopedi
16.) https://t.co/8xtCRVvxOJ → Görsel bilgi ansiklopedisi
17.) https://t.co/d7rbf5qm1H → Ödev ve konu anlatım arşivi
18.) https://t.co/9hxJkiASVU → Günün merak sorusu
19.) https://t.co/L2UmYguxWq → Ev deneyi ve proje rehberi
20.) https://t.co/RJggHMel19 → Fizik ve kimya simülasyonları
21.) https://t.co/bBXvDdikGt → NASA'nın çocuk sayfası
22.) https://t.co/wF3xiEIVRk → İklim ve dünya bilimi
23.) https://t.co/1heRSxCY3j → Avrupa Uzay Ajansı çocuk bölümü
24.) https://t.co/fVjB7SYE8S → Müze deneyleri ve etkinlikler
25.) https://t.co/fje9LqjGvN → Hazır fen ders planları
26.) https://t.co/mQnt0Z2a8i → Fen konularının videolu anlatımı
27.) https://t.co/ykUcE25BI2 → Cambridge matematik problemleri
28.) https://t.co/WROImS9xFH → Matematik oyunları
29.) https://t.co/0tFcFfK4v4 → Günlük matematik sorusu
30.) https://t.co/WVBgaVxxn4 → Sınıf seviyesine göre alıştırma
31.) https://t.co/UjE6l6TE23 → Kitapların sesli okunması
32.) https://t.co/hmBBXffXl5 → Çok dilli çocuk kitabı arşivi
33.) https://t.co/Lb1sfpE0Er → Dünya çocuk kitapları kütüphanesi
34.) https://t.co/qK7U4aIH6X → Ücretsiz çocuk kitapları
35.) https://t.co/aekMEEC78c → Seviyeye göre okuma kitapları
36.) https://t.co/G8ZAfqWmsb → Sesli resimli kitaplar
37.) https://t.co/xCOcwe0tWR → Okuma öğrenme programı
38.) https://t.co/hachAd3Eek → Oyunlaştırılmış dil öğrenimi
39.) https://t.co/Ama0H6vTym → Küçük yaşta dil öğretimi
40.) https://t.co/tHfTedl2kx → Müzik teorisi temelleri
41.) chrome music lab → Müziği deneyerek keşfetme
42.) https://t.co/lGlhc8y6W2 → Çizim alıştırmaları
43.) https://t.co/DW5c3rc15L → Adım adım çizim dersleri
44.) https://t.co/K3G7606AhS → Met Müzesi çocuk bölümü
45.) https://t.co/wPKyAjqClT → Tate'in çocuk sanat sayfası
46.) https://t.co/X3Tj0zZJMu → Çocuklar için satranç
47.) https://t.co/HGCGPRNFzP → Ücretsiz satranç ve alıştırma
48.) https://t.co/1EoWtTQjFe → On parmak klavye öğretimi
49.) https://t.co/RwLP9y0zsf → Ücretsiz ders planları
50.) https://t.co/9nEVQCUqZ7 → İçerik yaşa uygun mu kontrolü
Dünyanın en iyi çocuk eğitimi ücretsiz duruyor. Sadece kimse duyurmuyor.
Kaydedin, lazım olur.
This is a complete cheat code for all traders.
Claude can now control your TradingView charts directly.
The best part is that it's 100% free and only takes 2 minutes to set up.
🧵: How to connect Claude AI x TradingView.👇
Don't waste 2 years learning to become an AI agentic engineer in 2026.
Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.
1 hour course. Free:
• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems
I watched it last night.
Halfway through, I realized I could get into Anthropic in weeks, not years.
Bookmark now. Watch it. Then build your own AI agent
🇮🇳 Officially from INDIAN IITs 🇮🇳
No fees. No entrance exam. No catch.
Here are 28 courses that are better than most paid bootcamps:
1. Artificial Intelligence: Concepts and Techniques: https://t.co/xQLCBAt71z
2. Artificial Intelligence: Foundations and Algorithms: https://t.co/oSYHBy2CAo
3. Cloud Computing: https://t.co/s3eKQ4kO5I
4. Computer Vision: https://t.co/sw0ODnKZkb
5. Corporate Finance: https://t.co/AMT78OsBlw
6. Cyber Security and Privacy: https://t.co/iqFHf8TPii
7. Data Science for Engineers: https://t.co/bc2P6F5Jsd
8. Data Structures and Algorithms Design: https://t.co/kuixtbaTCD
9. Data Structures and Algorithms using Java: https://t.co/X8UsoouHO6
10. Data Structures and Algorithms Using Python: https://t.co/ShnmBRxGR5
11. Database Management System: https://t.co/dFPgDFun9i
12. Deep Learning - IIT Ropar: https://t.co/DTlEKFvlJa
13. Digital Marketing in the AI era: https://t.co/cY4BAnSMKI
14. Ethical Hacking: https://t.co/Vt6zK7tKzl
15. Generative AI for Computer Vision: https://t.co/GoFZOqhaOm
16. Introduction to Large Language Models (LLMs): https://t.co/cb50yjV59U
17. Introduction to Internet of Things: https://t.co/zikEcWbfQ2
18. Introduction to Machine Learning: https://t.co/yOyY1M8YnB
19. Introduction to Operating Systems: https://t.co/yq2e4gr2S9
20. Learning Analytics Tools: https://t.co/8ZTz0nJwlf
21. Mathematical Foundations of Generative AI: https://t.co/yQJ5crEMkP
22. Natural Language Processing: https://t.co/NW57eofXXt
23. Operating System Fundamentals: https://t.co/qWX8UeZIYK
24. Programming in Java: https://t.co/OAyT6kLYAz
25. Programming in Modern C++: https://t.co/0E3lquqUpM
26. Programming with Generative AI: https://t.co/MItYoWr2bF
27. Python for Data Science: https://t.co/mCcMpCOsA3
28. Reinforcement Learning: https://t.co/9m0pEVhORd
Repost so someone else can find this roadmap, and pls consider following
@amisha_explains for more content around AI, Beauty, and businesses.
Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/sw1ujP1Wnp
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/xR9iu9EtzU
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/XIZYVfPosz
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/4f85TPlIgv
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/qQTT34a36j
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/yy9iV7AMNd
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/kkXpu3tkW7
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/uZqsZ77IyP
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/dKa96swuWu
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/A22w8WrhZv
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
🇮🇳 Officially from INDIAN IITs 🇮🇳
No fees. No entrance exam. No catch.
Here are 28 courses that are better than most paid bootcamps:
1. Artificial Intelligence: Concepts and Techniques: https://t.co/xQLCBAt71z
2. Artificial Intelligence: Foundations and Algorithms: https://t.co/oSYHBy2CAo
3. Cloud Computing: https://t.co/s3eKQ4kO5I
4. Computer Vision: https://t.co/sw0ODnKZkb
5. Corporate Finance: https://t.co/AMT78OsBlw
6. Cyber Security and Privacy: https://t.co/iqFHf8TPii
7. Data Science for Engineers: https://t.co/bc2P6F5Jsd
8. Data Structures and Algorithms Design: https://t.co/kuixtbaTCD
9. Data Structures and Algorithms using Java: https://t.co/X8UsoouHO6
10. Data Structures and Algorithms Using Python: https://t.co/ShnmBRxGR5
11. Database Management System: https://t.co/dFPgDFun9i
12. Deep Learning - IIT Ropar: https://t.co/DTlEKFvlJa
13. Digital Marketing in the AI era: https://t.co/cY4BAnSMKI
14. Ethical Hacking: https://t.co/Vt6zK7tKzl
15. Generative AI for Computer Vision: https://t.co/GoFZOqhaOm
16. Introduction to Large Language Models (LLMs): https://t.co/cb50yjV59U
17. Introduction to Internet of Things: https://t.co/zikEcWbfQ2
18. Introduction to Machine Learning: https://t.co/yOyY1M8YnB
19. Introduction to Operating Systems: https://t.co/yq2e4gr2S9
20. Learning Analytics Tools: https://t.co/8ZTz0nJwlf
21. Mathematical Foundations of Generative AI: https://t.co/yQJ5crEMkP
22. Natural Language Processing: https://t.co/NW57eofXXt
23. Operating System Fundamentals: https://t.co/qWX8UeZIYK
24. Programming in Java: https://t.co/OAyT6kLYAz
25. Programming in Modern C++: https://t.co/0E3lquqUpM
26. Programming with Generative AI: https://t.co/MItYoWr2bF
27. Python for Data Science: https://t.co/mCcMpCOsA3
28. Reinforcement Learning: https://t.co/9m0pEVhORd
Repost so someone else can find this roadmap, and pls consider following
@amisha_explains for more content around AI, Beauty, and businesses.
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If you’d love to see more content like this, don’t forget to follow @Tanaypawar27 for more content... 🛑🛑🛑🛑
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
🔥𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐨 𝐚𝐥𝐥 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 𝐢𝐧 𝐨𝐧𝐞 : https://t.co/1KSOu7Fxxt
When you bought the $50,000 Tesla Model Y to save on gas & maintenance.
Then you learned:
- It loses 20-35% of its value by year 3
- It loses 55-58% of its value by year 5
So by year 5 you lost $35,000+ of value?
....Congrats on saving ~$1,000/yr on gas.
@ATT It might be time to bid farewell to you and your service, even though you offer free services. I’ll never return because of the terrible customer service and the worst billing department.
$10K dividend income portfolio idea 💰📊
Invest $1,000 into 10 different income ETFs:
$1K → $SPYI
$1K → $QQQI
$1K → $CHPY
$1K → $EGGY
$1K → $KQQQ
$1K → $JEPQ
$1K → $NVII
$1K → $GOOW
$1K → $IAUI
$1K → $XQQI
10 ETFs
10 income streams
One diversified income strategy 💸🔥
Which of these are already in your portfolio? 👇
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